Samsung Galaxy S20+ 5G
Geekbench AI Score
851
Single Precision Score
845
Half Precision Score
1592
Quantized Score
Geekbench AI 1.2.0 for Android AArch64
Result Information
| User | Acetoxy |
| Upload Date | May 31 2025 09:08 PM |
| Views | 8 |
System Information
| AI Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | CPU |
| Device | Qualcomm Snapdragon 865 |
| System Information | |
|---|---|
| Operating System | Android 13 |
| Model | Samsung Galaxy S20+ 5G |
| Model ID | samsung SM-G986U1 |
| Motherboard | kona |
| Governor | schedutil |
| CPU Information | |
|---|---|
| Name | ARM Qualcomm |
| Topology | 1 Processor, 8 Cores |
| Identifier | ARM implementer 65 architecture 8 variant 1 part 3341 revision 0 |
| Base Frequency | 1.80 GHz |
| Cluster 1 | 4 Cores @ 1.80 GHz |
| Cluster 2 | 3 Cores @ 2.42 GHz |
| Cluster 3 | 1 Core @ 2.84 GHz |
| Memory Information | |
|---|---|
| Size | 10.35 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
545
101.3 IPS |
|
|
Image Classification (HP)
|
100% |
544
101.1 IPS |
|
|
Image Classification (Q)
|
100% |
1480
275.2 IPS |
|
|
Image Segmentation (SP)
|
100% |
670
10.9 IPS |
|
|
Image Segmentation (HP)
|
100% |
665
10.8 IPS |
|
|
Image Segmentation (Q)
|
98% |
1709
27.8 IPS |
|
|
Pose Estimation (SP)
|
100% |
2141
2.50 IPS |
|
|
Pose Estimation (HP)
|
100% |
2203
2.57 IPS |
|
|
Pose Estimation (Q)
|
84% |
3609
4.28 IPS |
|
|
Object Detection (SP)
|
100% |
471
37.4 IPS |
|
|
Object Detection (HP)
|
100% |
494
39.2 IPS |
|
|
Object Detection (Q)
|
83% |
1438
116.2 IPS |
|
|
Face Detection (SP)
|
100% |
1592
18.9 IPS |
|
|
Face Detection (HP)
|
100% |
1561
18.6 IPS |
|
|
Face Detection (Q)
|
95% |
3428
40.9 IPS |
|
|
Depth Estimation (SP)
|
100% |
1935
14.9 IPS |
|
|
Depth Estimation (HP)
|
99% |
1849
14.2 IPS |
|
|
Depth Estimation (Q)
|
64% |
3335
30.5 IPS |
|
|
Style Transfer (SP)
|
89% |
3870
5.02 IPS |
|
|
Style Transfer (HP)
|
89% |
3725
4.84 IPS |
|
|
Style Transfer (Q)
|
98% |
8220
10.6 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1096
40.5 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1083
40.0 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
2014
74.6 IPS |
|
|
Text Classification (SP)
|
100% |
170
226.3 IPS |
|
|
Text Classification (HP)
|
100% |
169
225.9 IPS |
|
|
Text Classification (Q)
|
88% |
271
365.9 IPS |
|
|
Machine Translation (SP)
|
100% |
245
4.21 IPS |
|
|
Machine Translation (HP)
|
100% |
241
4.15 IPS |
|
|
Machine Translation (Q)
|
50% |
156
5.52 IPS |
